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Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System

INTRODUCTION: Data that estimate the prevalence of and risk factors for worker obesity by occupation are generally unavailable and could inform the prioritization of workplace wellness programs. The aims of this study were to estimate the prevalence of obesity by occupation, examine the association...

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Autores principales: Bonauto, David K., Lu, Dayu, Fan, Z. Joyce
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3887052/
https://www.ncbi.nlm.nih.gov/pubmed/24406093
http://dx.doi.org/10.5888/pcd11.130219
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author Bonauto, David K.
Lu, Dayu
Fan, Z. Joyce
author_facet Bonauto, David K.
Lu, Dayu
Fan, Z. Joyce
author_sort Bonauto, David K.
collection PubMed
description INTRODUCTION: Data that estimate the prevalence of and risk factors for worker obesity by occupation are generally unavailable and could inform the prioritization of workplace wellness programs. The aims of this study were to estimate the prevalence of obesity by occupation, examine the association of occupational physical activity and a range of health behaviors with obesity, and identify occupations in which workers are at high risk of obesity in Washington State. METHODS: We conducted descriptive and multivariable analyses among 37,626 employed Washington State respondents using the Behavioral Risk Factor Surveillance System in odd numbered years, from 2003 through 2009. We estimated prevalence and prevalence ratios (PRs) by occupational groups adjusting for demographics, occupational physical activity level, smoking, fruit and vegetable consumption, and leisure-time physical activity (LPTA). RESULTS: Overall obesity prevalence was 24.6% (95% confidence interval [CI], 24.0–25.1). Workers in protective services were 2.46 (95% CI, 1.72–3.50) times as likely to be obese as workers in health diagnosing occupations. Compared with their counterparts, workers who consumed adequate amounts of fruits and vegetables and had adequate LTPA were significantly less likely to be obese (PR = 0.91; 95% CI, 0.86–0.97 and PR = 0.63; 95% CI, 0.60–0.67, respectively). Workers with physically demanding occupational physical activity had a lower PR of obesity (PR = 0.83; 95% CI, 0.78–0.88) than those with nonphysically demanding occupational physical activity. CONCLUSION: Obesity prevalence and health risk behaviors vary substantially by occupation. Employers, policy makers, and health promotion practitioners can use our results to target and prioritize workplace obesity prevention and health behavior promotion programs.
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spelling pubmed-38870522014-01-27 Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System Bonauto, David K. Lu, Dayu Fan, Z. Joyce Prev Chronic Dis Original Research INTRODUCTION: Data that estimate the prevalence of and risk factors for worker obesity by occupation are generally unavailable and could inform the prioritization of workplace wellness programs. The aims of this study were to estimate the prevalence of obesity by occupation, examine the association of occupational physical activity and a range of health behaviors with obesity, and identify occupations in which workers are at high risk of obesity in Washington State. METHODS: We conducted descriptive and multivariable analyses among 37,626 employed Washington State respondents using the Behavioral Risk Factor Surveillance System in odd numbered years, from 2003 through 2009. We estimated prevalence and prevalence ratios (PRs) by occupational groups adjusting for demographics, occupational physical activity level, smoking, fruit and vegetable consumption, and leisure-time physical activity (LPTA). RESULTS: Overall obesity prevalence was 24.6% (95% confidence interval [CI], 24.0–25.1). Workers in protective services were 2.46 (95% CI, 1.72–3.50) times as likely to be obese as workers in health diagnosing occupations. Compared with their counterparts, workers who consumed adequate amounts of fruits and vegetables and had adequate LTPA were significantly less likely to be obese (PR = 0.91; 95% CI, 0.86–0.97 and PR = 0.63; 95% CI, 0.60–0.67, respectively). Workers with physically demanding occupational physical activity had a lower PR of obesity (PR = 0.83; 95% CI, 0.78–0.88) than those with nonphysically demanding occupational physical activity. CONCLUSION: Obesity prevalence and health risk behaviors vary substantially by occupation. Employers, policy makers, and health promotion practitioners can use our results to target and prioritize workplace obesity prevention and health behavior promotion programs. Centers for Disease Control and Prevention 2014-01-09 /pmc/articles/PMC3887052/ /pubmed/24406093 http://dx.doi.org/10.5888/pcd11.130219 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Original Research
Bonauto, David K.
Lu, Dayu
Fan, Z. Joyce
Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System
title Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System
title_full Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System
title_fullStr Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System
title_full_unstemmed Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System
title_short Obesity Prevalence by Occupation in Washington State, Behavioral Risk Factor Surveillance System
title_sort obesity prevalence by occupation in washington state, behavioral risk factor surveillance system
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3887052/
https://www.ncbi.nlm.nih.gov/pubmed/24406093
http://dx.doi.org/10.5888/pcd11.130219
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